Killian Steunou

## What is this Python project? **JoliGEN** is an integrated framework for training custom generative AI image-to-image models Main Features: - JoliGEN implements both **GAN and Diffusion models** for unpaired...

**JoliGEN** is an integrated framework for training custom generative AI image-to-image models. Main Features: - JoliGEN implements both **GAN and Diffusion models** for unpaired and paired image to image translation...

**JoliGEN** is an integrated framework for training custom generative AI image-to-image models, by [JoliBrain](https://github.com/jolibrain). Main Features: - JoliGEN implements both **GAN and Diffusion models** for unpaired and paired image to...

**JoliGEN** is an integrated framework for training custom generative AI image-to-image models Main Features: - JoliGEN implements both **GAN and Diffusion models** for unpaired and paired image to image translation...

# Issue template This PR adds a general issue template for joliGEN and a code of conduct. This is how the issue forms will look like: 

feat: new ChessboardGeoSampler

12

### Add `ChessboardGeoSampler` to TorchGeo #### Description This Pull Request introduces the `ChessboardGeoSampler`. The `ChessboardGeoSampler` samples patches in a chessboard-like pattern, minimizing overlap and redundant computation during evaluation. #### Features...